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This repository contains the PyTorch checkpoints required by the final report reports/reportsubmit.md for Project 2 of "Neural Network and Deep Learning".
Fuente del modelo
Descripción de la fuente
This repository contains the PyTorch checkpoints required by the final report
reports/report_submit.md for Project 2 of "Neural Network and Deep Learning".
Dataset: CIFAR-10 official dataset, https://www.cs.toronto.edu/~kriz/cifar.html
Fuentes
1 fuenteVerificado 17 sept
Artefactos del modelo
30 artefactosExtractos de fuentes
2 extractosThe uploaded files preserve the report-relative paths under
reports/experiments/.../weights/....
Task 1 CIFAR-10 model-search checkpoints:
reports/experiments/task1/basic_cnn_baseline/weights/best_basic_cnn.ptreports/experiments/task1/vgg_a_light_baseline/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_width_0_5/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_width_0_75/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_width_1_5/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_width_2_0/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_width_2_5/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_w2_label_smoothing/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_w2_cross_entropy_wd_1e_4/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_w2_multi_margin_wd_1e_4/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_w2_label_smoothing_leaky_relu/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_w2_label_smoothing_elu/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_w2_label_smoothing_leaky_relu_adamw_wd_1e_4/weights/best_vgg_a_light.ptreports/experiments/task1/vgg_a_light_w2_label_smoothing_leaky_relu_sgd_momentum_lr_1e_2/weights/best_vgg_a_light.ptTask 2 VGG-A and VGG-A+BatchNorm learning-rate sweep checkpoints:
reports/experiments/task2/task2_vgg_a_lr_1e_3/weights/best_vgg_a.ptreports/experiments/task2/task2_vgg_a_lr_2e_3/weights/best_vgg_a.ptreports/experiments/task2/task2_vgg_a_lr_5e_4/weights/best_vgg_a.ptreports/experiments/task2/task2_vgg_a_lr_1e_4/weights/best_vgg_a.ptreports/experiments/task2/task2_vgg_batchnorm_lr_1e_3/weights/best_vgg_batchnorm.ptreports/experiments/task2/task2_vgg_batchnorm_lr_2e_3/weights/best_vgg_batchnorm.ptreports/experiments/task2/task2_vgg_batchnorm_lr_5e_4/weights/best_vgg_batchnorm.ptreports/experiments/task2/task2_vgg_batchnorm_lr_1e_4/weights/best_vgg_batchnorm.ptSupplementary Task 2 full-gradient rerun checkpoints:
reports/experiments/task2_fullgrad/task2_fullgrad_vgg_a_lr_1e_3/weights/best_vgg_a.ptreports/experiments/task2_fullgrad/task2_fullgrad_vgg_a_lr_2e_3/weights/best_vgg_a.ptreports/experiments/task2_fullgrad/task2_fullgrad_vgg_a_lr_5e_4/weights/best_vgg_a.ptreports/experiments/task2_fullgrad/task2_fullgrad_vgg_a_lr_1e_4/weights/best_vgg_a.ptreports/experiments/task2_fullgrad/task2_fullgrad_vgg_batchnorm_lr_1e_3/weights/best_vgg_batchnorm.ptreports/experiments/task2_fullgrad/task2_fullgrad_vgg_batchnorm_lr_2e_3/weights/best_vgg_batchnorm.ptreports/experiments/task2_fullgrad/task2_fullgrad_vgg_batchnorm_lr_5e_4/weights/best_vgg_batchnorm.ptreports/experiments/task2_fullgrad/task2_fullgrad_vgg_batchnorm_lr_1e_4/weights/best_vgg_batchnorm.ptreports/experiments/task1/vgg_a_light_w2_cross_entropy_wd_1e_4/weights/best_vgg_a_light.pt
pt · 9,74 MB · SHA-256 67cb86b00926…4e9b · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_w2_label_smoothing_elu/weights/best_vgg_a_light.pt
pt · 9,74 MB · SHA-256 c1e545b3498d…e0c3 · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_w2_label_smoothing_leaky_relu_adamw_wd_1e_4/weights/best_vgg_a_light.pt
pt · 9,74 MB · SHA-256 3430377aa1bb…fd86 · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_w2_label_smoothing_leaky_relu_sgd_momentum_lr_1e_2/weights/best_vgg_a_light.pt
pt · 9,74 MB · SHA-256 6f5a56a88752…c212 · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_w2_label_smoothing_leaky_relu/weights/best_vgg_a_light.pt
pt · 9,74 MB · SHA-256 1e15b31f0fd0…7a45 · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_w2_label_smoothing/weights/best_vgg_a_light.pt
pt · 9,74 MB · SHA-256 174f6556f41d…4abb · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_w2_multi_margin_wd_1e_4/weights/best_vgg_a_light.pt
pt · 9,74 MB · SHA-256 21bacba2f097…ffbc · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_width_0_5/weights/best_vgg_a_light.pt
pt · 744 KB · SHA-256 e0ed36c2cd54…3d03 · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_width_0_75/weights/best_vgg_a_light.pt
pt · 1,49 MB · SHA-256 11612272207b…c191 · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_width_1_5/weights/best_vgg_a_light.pt
pt · 5,56 MB · SHA-256 340c54743ded…9d23 · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_width_2_0/weights/best_vgg_a_light.pt
pt · 9,74 MB · SHA-256 759a1dbea990…bf0c · Hugging Face
Descargarreports/experiments/task1/vgg_a_light_width_2_5/weights/best_vgg_a_light.pt
pt · 15,1 MB · SHA-256 5cbc664ab334…d563 · Hugging Face
Descargarreports/experiments/task2_fullgrad/task2_fullgrad_vgg_a_lr_1e_3/weights/best_vgg_a.pt
pt · 37,2 MB · SHA-256 370e2a598eb6…2e9d · Hugging Face
Descargarreports/experiments/task2_fullgrad/task2_fullgrad_vgg_a_lr_1e_4/weights/best_vgg_a.pt
pt · 37,2 MB · SHA-256 4e4f1186b922…7175 · Hugging Face
Descargarreports/experiments/task2_fullgrad/task2_fullgrad_vgg_a_lr_2e_3/weights/best_vgg_a.pt
pt · 37,2 MB · SHA-256 8407769160f2…a3b5 · Hugging Face
Descargarreports/experiments/task2_fullgrad/task2_fullgrad_vgg_a_lr_5e_4/weights/best_vgg_a.pt
pt · 37,2 MB · SHA-256 24676f475fa1…b819 · Hugging Face
Descargarreports/experiments/task2_fullgrad/task2_fullgrad_vgg_batchnorm_lr_1e_3/weights/best_vgg_batchnorm.pt
pt · 37,3 MB · SHA-256 78c61aaea1cf…2051 · Hugging Face
Descargarreports/experiments/task2_fullgrad/task2_fullgrad_vgg_batchnorm_lr_1e_4/weights/best_vgg_batchnorm.pt
pt · 37,3 MB · SHA-256 a763e587c8fc…0aa4 · Hugging Face
Descargarreports/experiments/task2_fullgrad/task2_fullgrad_vgg_batchnorm_lr_2e_3/weights/best_vgg_batchnorm.pt
pt · 37,3 MB · SHA-256 7bd72234f172…a7a7 · Hugging Face
Descargarreports/experiments/task2_fullgrad/task2_fullgrad_vgg_batchnorm_lr_5e_4/weights/best_vgg_batchnorm.pt
pt · 37,3 MB · SHA-256 03632c228586…6901 · Hugging Face
Descargarreports/experiments/task2/task2_vgg_a_lr_1e_3/weights/best_vgg_a.pt
pt · 37,2 MB · SHA-256 370e2a598eb6…2e9d · Hugging Face
Descargarreports/experiments/task2/task2_vgg_a_lr_1e_4/weights/best_vgg_a.pt
pt · 37,2 MB · SHA-256 4e4f1186b922…7175 · Hugging Face
Descargarreports/experiments/task2/task2_vgg_a_lr_2e_3/weights/best_vgg_a.pt
pt · 37,2 MB · SHA-256 8407769160f2…a3b5 · Hugging Face
Descargarreports/experiments/task2/task2_vgg_a_lr_5e_4/weights/best_vgg_a.pt
pt · 37,2 MB · SHA-256 24676f475fa1…b819 · Hugging Face
Descargarreports/experiments/task2/task2_vgg_batchnorm_lr_1e_3/weights/best_vgg_batchnorm.pt
pt · 37,3 MB · SHA-256 78c61aaea1cf…2051 · Hugging Face
Descargarreports/experiments/task2/task2_vgg_batchnorm_lr_1e_4/weights/best_vgg_batchnorm.pt
pt · 37,3 MB · SHA-256 a763e587c8fc…0aa4 · Hugging Face
Descargarreports/experiments/task2/task2_vgg_batchnorm_lr_2e_3/weights/best_vgg_batchnorm.pt
pt · 37,3 MB · SHA-256 7bd72234f172…a7a7 · Hugging Face
Descargarreports/experiments/task2/task2_vgg_batchnorm_lr_5e_4/weights/best_vgg_batchnorm.pt
pt · 37,3 MB · SHA-256 03632c228586…6901 · Hugging Face
Descargar--- library_name: pytorch tags: - image-classification - cifar10 - batch-normalization - neural-network-and-deep-learning datasets: - cifar10 --- # Project 2 2026 Trained Model Weights This repository contains the PyTorch checkpoints required by the final report `reports/report_submit.md` for Project 2 of "Neural Network and Deep Learning". Dataset: CIFAR-10 official dataset, https://www.cs.toronto.edu/~kriz/cifar.html Code: https://github.com/TimoZhou1024/pj2_nndl ## Included Checkpoints The uploaded files preserve the report-relative paths under `reports/experiments/.../weights/...`. Task 1 CIFAR-10 model-search checkpoints: - `reports/experiments/task1/basic_cnn_baseline/weights/best_basic_cnn.pt` - `reports/experiments/task1/vgg_a_light_baseline/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_width_0_5/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_width_0_75/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_width_1_5/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_width_2_0/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_width_2_5/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_w2_label_smoothing/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_w2_cross_entropy_wd_1e_4/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_w2_multi_margin_wd_1e_4/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_w2_label_smoothing_leaky_relu/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_w2_label_smoothing_elu/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_w2_label_smoothing_leaky_relu_adamw_wd_1e_4/weights/best_vgg_a_light.pt` - `reports/experiments/task1/vgg_a_light_w2_label_smoothing_leaky_relu_sgd_momentum_lr_1e_2/weights/best_vgg_a_light.pt` Task 2 VGG-A and VGG-A+BatchNorm learning-rate sweep checkpoints: - `reports/experiments/task2/task2_vgg_a_lr_1e_3/weights/best_vgg_a.pt` - `reports/experiments/task2/task2_vgg_a_lr_2e_3/weights/best_vgg_a.pt` - `reports/experiments/task2/task2_vgg_a_lr_5e_4/weights/best_vgg_a.pt` - `reports/experiments/task2/task2_vgg_a_lr_1e_4/weights/best_vgg_a.pt` - `reports/experiments/task2/task2_vgg_batchnorm_lr_1e_3/weights/best_vgg_batchnorm.pt` - `reports/experiments/task2/task2_vgg_batchnorm_...
Source context: 0 downloads · 0 likes · Pipeline image-classification · Library pytorch · Repo TimoZhou1024/pj2-2026-cifar10-weights